Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Martha Lambert introduces the "Observability ...
In this video from the Stanford HPC Conference, Chris Fregly from PipelineAI presents: Deploy Serverless TensorFlow Models using Kubernetes, OpenFaaS, GPUs and PipelineAI. “Applying my Netflix ...
Over the past year, Google’s TensorFlow has asserted itself as a popular open source toolkit for deep learning. But training a TensorFlow model can be cumbersome and slow—especially when the mission ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
Ben Khalesi covers the intersection of artificial intelligence and everyday tech at Android Police. With a background in AI and data science, he enjoys making technical topics approachable for those ...
Machine learning (ML)-based approaches to system development employ a fundamentally different style of programming than historically used in computer science. This approach uses example data to train ...
Microsoft announced on-device training of machine language models with the open source ONNX Runtime (ORT). The ORT is a cross-platform machine-learning model accelerator, providing an interface to ...
Chris Fregly from PipelineAI gave this talk at the Stanford HPC Conference. “Applying my Netflix experience to a real-world problem in the ML and AI world, I will demonstrate a full-featured, ...
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